Alain Celisse
Alain Celisse
SAMM Laboratory - Paris 1 Panthéon-Sorbonne University
Verified email at univ-paris1.fr - Homepage
Title
Cited by
Cited by
Year
A survey of cross-validation procedures for model selection
S Arlot, A Celisse
Statistics surveys 4, 40-79, 2010
34942010
Consistency of maximum-likelihood and variational estimators in the stochastic block model
A Celisse, JJ Daudin, L Pierre
Electronic Journal of Statistics 6, 1847-1899, 2012
1972012
A kernel multiple change-point algorithm via model selection
S Arlot, A Celisse, Z Harchaoui
Journal of machine learning research 20 (162), 2019
108*2019
A kernel multiple change-point algorithm via model selection
S Arlot, A Celisse, Z Harchaoui
Journal of machine learning research 20 (162), 2019
108*2019
Segmentation of the mean of heteroscedastic data via cross-validation
S Arlot, A Celisse
Statistics and Computing 21 (4), 613-632, 2011
732011
Nonparametric density estimation by exact leave-p-out cross-validation
A Celisse, S Robin
Computational Statistics & Data Analysis 52 (5), 2350-2368, 2008
712008
A survey of cross-validation procedures for model selection. Stat. Surv. 4, 40–79
S Arlot, A Celisse
652010
Optimal cross-validation in density estimation with the -loss
A Celisse
The Annals of Statistics 42 (5), 1879-1910, 2014
592014
A cross-validation based estimation of the proportion of true null hypotheses
A Celisse, S Robin
Journal of Statistical Planning and Inference 140 (11), 3132-3147, 2010
332010
Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation
M Guedj, S Robin, A Celisse, G Nuel
BMC bioinformatics 10 (1), 1-12, 2009
312009
New efficient algorithms for multiple change-point detection with reproducing kernels
A Celisse, G Marot, M Pierre-Jean, GJ Rigaill
Computational Statistics & Data Analysis 128, 200-220, 2018
272018
Model selection via cross-validation in density estimation, regression, and change-points detection
A Celisse
Université Paris Sud-Paris XI, 2008
262008
A kernel multiple change-point algorithm via model selection
S Arlot, A Celisse, Z Harchaoui
arXiv preprint arXiv:1202.3878, 2012
212012
Exact Cross-Validation for NN : application to passive and active learning in classification
A Celisse, T Mary-Huard
Journal de la Société Française de Statistique 152 (3), 83-97, 2011
162011
Theoretical analysis of cross-validation for estimating the risk of the k-nearest neighbor classifier
A Celisse, T Mary-Huard
The Journal of Machine Learning Research 19 (1), 2373-2426, 2018
152018
Stability revisited: new generalisation bounds for the leave-one-out
A Celisse, B Guedj
arXiv preprint arXiv:1608.06412, 2016
142016
A one-sample test for normality with kernel methods
J Kellner, A Celisse
Bernoulli 25 (3), 1816-1837, 2019
102019
Model selection in density estimation via cross-validation
A Celisse
82009
New efficient algorithms for multiple change-point detection with kernels
A Celisse, G Marot, M Pierre-Jean, G Rigaill
arXiv preprint arXiv:1710.04556, 2017
72017
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms
A Celisse, M Wahl
Journal of Machine Learning Research 22 (76), 1-59, 2021
52021
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Articles 1–20